Volume 7, Issue 1 pp. 17-22

Newly developed waist actigraphy and its sleep/wake scoring algorithm

Minori ENOMOTO

Minori ENOMOTO

Department of Psychophysiology, National Institute of Mental Health, National Center for Neurology and Psychiatry, Tokyo,

Department of Life Sciences and Bio-informatics, Graduate School of Allied Health Sciences, Tokyo Medical and Dental University, Tokyo,

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Takuro ENDO

Takuro ENDO

Sleep Clinic Chofu, Tokyo,

Aoki Hospital, Clinical Laboratory, Tokyo,

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Kazue SUENAGA

Kazue SUENAGA

Aoki Hospital, Clinical Laboratory, Tokyo,

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Naoki MIURA

Naoki MIURA

Central Research Insitute of Electric Power Industry, Materials Science Research Laboratory, Tokyo,

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Yasushi NAKANO

Yasushi NAKANO

Kissei Comtec Co. Ltd., Nagano,

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Sayaka KOHTOH

Sayaka KOHTOH

Kissei Comtec Co. Ltd., Nagano,

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Yujiro TAGUCHI

Yujiro TAGUCHI

Kissei Comtec Co. Ltd., Nagano,

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Sayaka ARITAKE

Sayaka ARITAKE

Department of Psychophysiology, National Institute of Mental Health, National Center for Neurology and Psychiatry, Tokyo,

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Shigekazu HIGUCHI

Shigekazu HIGUCHI

Department of Psychophysiology, National Institute of Mental Health, National Center for Neurology and Psychiatry, Tokyo,

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Masato MATSUURA

Masato MATSUURA

Department of Life Sciences and Bio-informatics, Graduate School of Allied Health Sciences, Tokyo Medical and Dental University, Tokyo,

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Kiyohisa TAKAHASHI

Kiyohisa TAKAHASHI

Aino University, Osaka, Japan

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Kazuo MISHIMA

Kazuo MISHIMA

Department of Psychophysiology, National Institute of Mental Health, National Center for Neurology and Psychiatry, Tokyo,

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First published: 12 March 2009
Citations: 7
Dr Kazuo Mishima, Department of Psychophysiology, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8553, Japan. E-mail: [email protected]

Abstract

The purpose of this study was to formulate an algorithm for assessing sleep/waking from activity intensities measured with a waist-worn actigraphy, the Lifecorder PLUS (LC; Suzuken Co. Ltd., Nagoya, Japan), and to test the validity of the algorithm. The study consisted of 31 healthy subjects (M/F = 20/11, mean age 31.7 years) who underwent one night of simultaneous measurement of activity intensity by LC and polysomnography (PSG). A sleep(S)/wake(W) scoring algorithm based on a linear model was determined through discriminant analysis of activity intensities measured by LC over a total of 235 h and 56 min and the corresponding PSG-based S/W data. The formulated S/W scoring algorithm was then used to score S/W during the monitoring epochs (2 min each, 7078 epochs in total) for each subject. The mean agreement rate with the corresponding PSG-based S/W data was 86.9%, with a mean sensitivity (sleep detection) of 89.4% and mean specificity (wakefulness detection) of 58.2%. The agreement rates for the individual stages of sleep were 60.6% for Stage 1, 89.3% for Stage 2, 99.2% for Stage 3 + 4, and 90.1% for Stage REM. These results demonstrate that sleep/wake activity in young to middle-aged healthy subjects can be assessed with a reliability comparable to that of conventional actigraphy through LC waist actigraphy and the optimal S/W scoring algorithm.

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